• Disambiguate word- and phrase-level meaning to build high-quality training data for AI language models • Apply morphosyntactic and semantic analysis to tag and validate grammar concepts with precision • Distinguish read-aloud from spontaneous speech to support speech data annotation • Write grammar explanations that are linguistically rigorous and genuinely useful to learners • Design vocabulary tasks grounded in real usage patterns, not textbook cliches • Shape lesson outlines that reflect how English is actually used, informed by corpus and annotation data

Role Description Disambiguate word- and phrase-level meaning to build high-quality training data for AI language models. - Apply morphosyntactic and semantic analysis to tag and validate grammar concepts with precision. - Distinguish read-aloud from spontaneous speech to support speech data annotation. - Write grammar explanations that are linguistically rigorous and genuinely useful to learners. - Design vocabulary tasks grounded in real usage patterns, not textbook cliches. - Shape lesson outlines that reflect how English is actually used, informed by corpus and annotation data. Qualifications - Bachelor's degree or higher in linguistics, computational linguistics, or NLP (Master's or PhD a plus). - Demonstrated expertise in semantics and morphosyntax, ideally applied to corpus linguistics or NLP annotation work. - Experience with language data annotation, corpus tagging, or AI/ML training data projects strongly preferred. - Native or near-native English proficiency (CEFR C2). Requirements - Type: Contract. - Time commitment: 10-20 hours per week. - Project duration: 4 weeks, potential extension.

Role Description The Natural Language Processing (NLP) Engineer is a key technical contributor in the design and development of state-of-the-art NLP and Artificial Intelligence (AI) for medical applications. The Sr NLP Engineer works closely with other NLP engineers, NLP developers, software engineers, and subject matter experts on current company technologies and forward-looking projects. The successful candidate will have a strong background in NLP and AI, with an emphasis on: - Text - Information retrieval - Information extraction - Knowledge representation - Ontological design Primary responsibilities include: - Enhancement of existing company NLP technologies - Extension of those systems to new applications - Augmentation of various clinical knowledge resources (lexicons, nomenclatures, hierarchies, ontologies, and rule systems) - Evaluation of performance of components on clinical documentation at scale in production environments - Generation and interpretation of domain/solution analytics - Collaboration with engineering to enhance NLP modules and functionality - Direct support of team members in the maintenance of company NLP systems - Resolution of internal and external customer issues - All aspects of software design and development from system requirements definition to implementation, integration, and testing You’ll be rewarded and recognized for your performance in an environment that will challenge you and provide development for other roles you may be interested in. Qualifications - 4+ years of related professional work experience - significant academic NLP development experience will be considered for strong applicants with advanced degree - 4+ years of experience in linguistic processes - 3+ years of experience in algorithms and techniques within a computational domain with emphasis on text processing - 3+ years of experience with natural language processing or formal linguistics: morphology, syntax, and semantics - 3+ years of experience with at least 2 of the following: Python, Java, C# - 3+ years of experience in SQL - 3+ years of experience integrating Copilot with GitHub or similar AI-assisted development tools - 3+ years of experience with modern software development and DevOps ecosystems - 3+ years of experience working with integrated development environments and tools - 3+ years of experience building, deploying, and maintaining containerized images in scalable production environments Requirements - Degree in Linguistics, Computer Science, or other Computational discipline (preferred) - Exposure to LLMs & prompting (preferred) - Experience with ontologies (preferred) - Experience in medical coding or medical terminology (preferred) - Graduate degree (preferred) - Experience with modern AI development tools and applied AI engineering workflows (preferred) Benefits - Comprehensive benefits package - Incentive and recognition programs - Equity stock purchase - 401k contribution (subject to eligibility requirements)

Role Description - Design challenging computational problems using domain-specific scientific software libraries like libRoadRunner, Tellurium, or SBML-based tools. - Develop problems that test AI systems' ability to implement complex multi-step scientific workflows and strategic reasoning. - Calibrate tasks against state-of-the-art AI models, refining problem design to achieve target difficulty. - Collaborate with AI research teams to improve model outputs and training data quality. - Work independently and asynchronously to meet deadlines and improve AI model performance. Qualifications - Graduate-level training in a relevant STEM domain (MS, PhD, or equivalent research experience). - Proficiency with at least one listed scientific software library, evidenced by research publications, open-source contributions, or professional work. - Strong Python programming skills for writing problem setups, oracle functions, and solution validators. - Ability to work independently and iterate on problem designs based on calibration feedback. - Comfortable in a Linux/terminal environment with remote compute sandboxes. Requirements - Experience across multiple listed domains or tools. - Familiarity with benchmark or evaluation design. - Background in scientific pedagogy or exam/problem-set design. - Experience with computational reproducibility and containerized environments. Benefits - Compensation: $70–$100/hour - Location: Remote - Commitment: 15–20 hours/week Application Process - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: Interview Process - For any help or support, reach out to: support@mercor.com - PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.